Price: ₹2,499 - ₹649.00
(as of May 13, 2024 16:48:45 UTC – Details)
CENTRINO CASUAL MATERIAL: SYNTHETIC MATERIAL. THESE SHOES ARE MADE UP OF HIGH QUALITY SYNTHETIC MATERIAL STAYS STRONG AND DURABLE – MEANING THE SHOES WILL LAST MUCH LONGER. LIFESTYLE: FORMAL / BUSINESS. PAIR THESE STYLISH CENTRINO SHOES WITH YOUR SHIRT & TROUSERS FOR THAT PERFECT LOOK. OFFICE WEAR, OFFICE SHOES, FORMAL SHOES, SLIP-ON, BUSINESS SHOES. CLOSURE: SLIP-ON. CENTRINO SHOES ARE HAND-CRAFTED FOR THAT PERFECT FIT. PERFORATED INSOLE LETS AIR PASS THROUGH THE MATERIAL. THIS IS GREAT FOR LEATHER SHOES BECAUSE THE MATERIAL LETS AIR IN TO COOL YOUR FEET AND STOP THEM FROM SMELLING. FIT: COMFORT FIT. CENTRINO ENDORSES STYLE THAT STRIKES A FINE BALANCE BETWEEN THE CLASSIC AND THE MODERN, THE DISCREET AND THE BOLD WITH GOOD TASTE BEING THE ONLY CRITERION FOR SELECTION. CARE INSTRUCTIONS: ALLOW YOUR PAIR OF SHOES TO AIR ON A REGULAR BASIS. THIS HELPS THEM RETAIN THEIR NATURAL SHAPE; DRY SHOES AT ROOM TEMPERATURE ONLY. EXCESSIVE EXPOSURE TO SUN, WILL CAUSE THE LEATHER TO SHRINK, WRINKLE, HARDEN, DRY, AND CRACK. USE SHOE BAGS TO PREVENT ANY STAINS OR MILDEW; DUST ANY DRY DIRT FROM THE SURFACE USING A CLEAN CLOTH. FOR MENS
Product Dimensions : 28 x 7 x 11 cm; 800 g
Date First Available : 8 April 2023
Manufacturer : Cona Footwear India Pvt Ltd
ASIN : B0C1VJZYHN
Item model number : 6311-5
Country of Origin : India
Department : mens
Manufacturer : Cona Footwear India Pvt Ltd, Cona Footwear India Pvt Ltd C29/1 Site-C UPSIDC Sikandra Agra:- 282007
Packer : Cona Footwear India Pvt Ltd C29/1 Site-C UPSIDC Sikandra Agra:- 282007
Importer : Cona Footwear India Pvt Ltd C29/1 Site-C UPSIDC Sikandra Agra:- 282007
Item Weight : 800 g
Item Dimensions LxWxH : 28 x 7 x 11 Centimeters
Generic Name : Casual
Customers say
Customers like the material of the shoes, saying it’s good. They also mention that the leather is really good. However, some customers have reported issues with the quality of the product, saying that the material is poor and the stitching is poor.
AI-generated from the text of customer reviews
